Resources

Guides for recoverability audits, stack fit, and the next safe software decision

Use these pages when you want a clearer explanation of the audit, the delivery boundary, or the qualification criteria before requesting work.

Problem-led pages

Fix an existing app

Shipward helps teams fix a brittle existing app by starting with a recoverability audit, a risk inventory, and the smallest safe next step.

Can this codebase be saved?

Use Shipward when you need an evidence-backed answer on whether a brittle codebase should be recovered, contained, rewritten, or left unsupported.

Rewrite vs refactor

Shipward helps teams decide between rewrite and refactor by auditing the current app, mapping risk concentration, and scoping the next honest move.

AI-built app problems

Shipward helps teams audit and stabilize AI-built apps that already prove value but now suffer from fragile architecture, regressions, or risky delivery habits.

Technical debt audit

Shipward provides a technical debt audit for teams that need to understand risk concentration, architecture debt, and whether the current app should be stabilized or rewritten.

MVP not ready to scale

Shipward helps teams whose MVP is proving demand but not reliability by auditing the current app and scoping the next bounded production-readiness step.

Inherited codebase help

Shipward helps teams that inherited a messy codebase by auditing the current app, mapping risk, and defining the safest next remediation step.

What Shipward means by governed delivery

Explains why Shipward starts with a bounded audit and uses approval-gated remediation instead of vague rescue promises.

What a recoverability audit covers

Explains the audit inputs, deliverables, and the recover-versus-rewrite decision boundary in plain English.

Supported stacks and intake boundaries

Breaks down supported stacks, source intake expectations, and the boundaries used before an audit starts.

How implementation handoff and approvals work

Explains how Shipward handles approval boundaries, release packets, and implementation handoff without implying direct production deployment.